LangGraph State & Persistence FAQs

Question 1

Should I manually clean up old LangGraph checkpoints?

Accepted Answer

Yes, to prevent database bloat in production, you should implement TTL-based cleanup or a strategy that keeps only the latest N checkpoints per thread.

Question 2

What is the difference between a Checkpointer and a Store in LangGraph?

Accepted Answer

A Checkpointer manages short-term, thread-scoped memory like message history within a single conversation, while a Store handles long-term, cross-thread memory like user preferences shared across all sessions.

Question 3

How do I resume an interrupted LangGraph workflow?

Accepted Answer

By providing a consistent thread_id in the configuration and invoking the app with 'None' as the input, LangGraph automatically loads the latest checkpoint and resumes execution.

Question 4

How does LangGraph handle changes to my graph topology?

Accepted Answer

LangGraph supports automatic migrations for most changes, such as adding or removing nodes and state keys, allowing existing checkpoints to work with updated graph structures.

Question 5

Which backend should I use for LangGraph checkpoints?

Accepted Answer

Use MemorySaver for local development and testing. For production, PostgresSaver or SqliteSaver are recommended to ensure durability and allow agents to resume after restarts.

LangGraph State & Persistence

主な機能

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LangGraph State & Persistence

主な機能

ユースケース